Amma Liesvarastranta Haz

Sepuluh Nopember Institute of Technology

Papers

Total Citations

H-Index

About

Amma Liesvarastranta Haz is a pioneering researcher at the intersection of human-robot interaction and immersive technologies, with a primary focus on collaborative robotics (co-bots) and virtual reality training systems. Her most cited work, "Virtual Reality Application for Co-Bot Training" (2022, 4 citations), addresses a critical challenge in modern robotics: the need for human-centric co-bots that can seamlessly adapt to human behavior. Haz's major contribution lies in developing VR-based frameworks that accelerate the mutual familiarization process between humans and robots, enabling more intuitive and safer collaborative interactions. By creating simulated environments where co-bots learn to anticipate and respond to human actions, her research bridges the gap between theoretical human-robot collaboration and practical workplace implementation. This work has significant implications for manufacturing, healthcare, and service industries where human-robot teams are increasingly common. Though early in her career, Haz's innovative approach to using virtual reality as a training ground for co-bots positions her as an emerging thought leader in human-robot symbiosis, with her foundational work already influencing subsequent studies on adaptive robotic learning systems.